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研究生: 吳毓書
Wu, Yu-shu
論文名稱: 集團企業與非集團企業資本結構影響因素之比較—以台灣電子產業為例
The Determinants of Capital Structure on Business and Non-business Groups — An Example of the Electronics Industry in Taiwan
指導教授: 康信鴻
Kang, Hsin-hong
學位類別: 碩士
Master
系所名稱: 管理學院 - 國際企業研究所
Institute of International Business
論文出版年: 2009
畢業學年度: 97
語文別: 英文
論文頁數: 62
中文關鍵詞: 集團企業OLS共線性檢定鳥巢檢定自我相關檢定資本結構
外文關鍵詞: OLS, Autocorrelation Test, Nested Hypothesis Test, Multicollinearity Test, capital structure, business group
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  • 自從1958年Modigliani和Miller提出資本結構無關論之後,資本結構議題已被廣泛研究,隨後並陸續提出諸如靜態抵換理論、融資順位理論等。此外,學者們也紛紛著手探討造成資本結構差異的因素為何。然而,這方面的研究多半著重於 (1)同一國家內,造成本國及跨國企業資本結構差異的因素;(2)同一或不同國家間,造成所有廠商資本結構差異的因素。
    然而對台灣來說,「集團企業」是本國相當重要的商業特色。根據中華徵信所的研究調查發現,2004年本國集團企業總營收佔台灣GDP比重高達137%,相較於政府部門營收卻只佔18%。由此可知,集團企業在台灣扮演著相當重要的角色。
    有鑑於此,本研究欲探討台灣的關鍵產業─電子業,其集團企業及非集團企業資本結構的差異,以及造成此差異的因素為何。期望此研究能提供台灣電子業廠商未來欲形成集團企業作參考。
    本研究採用OLS分別進行共線性定、鳥巢檢定及自我相關檢定,其研究結果如下:
    (1) 集團企業負債比率顯著大於非集團企業
    (2) 在集團企業及非集團企業中,公司的非負債稅盾越高,負債比率也越高。
    (3) 在集團企業及非集團企業中,公司的獲利能力越高,負債比率越低。
    (4) 在集團企業及非集團企業中,公司的成長機會越多,負債比率越高。
    (5) 在集團企業中,公司的資產抵押價值越高,負債比率越低;然而非集團企業的結果則相反。
    (6) 在集團企業中,子公司數目越多,負債比率越低。
    (7) 在成長機率提高的情況下,集團企業的負債比率大於非集團企業。

    The issue of capital structure has become a popular topic after Modigliani and Miller’s (1958) capital structure irrelevance theory was proposed. Later on, the trade-off theory and the pecking order theory were brought up sequentially. Additionally, more and more scholars tried to investigate the determinants of capital structure. Most of the studies can be divided into two parts: (1) the comparison between multinational corporations (MNCs) and domestic corporations (DCs) in one nation (2) examination from one or more countries without distinguishing MNCs from DCs.
    However, business groups play an important role in Taiwan’s business environment. When comparing the annual revenues of the top 100 business groups using the yearly GNP, the ratio of revenues of business groups to GNP reached 137.57% in 2004 according to the China Credit Information Service (CCIS). Therefore, this study intends to examine not only the differences but also the determinants of capital structure between business and non-business groups, using data from Taiwan’s electronics industry.
    We performed the Multicollinearity Test, the Nested Hypothesis Test and the Autocorrelation Test by OLS. The empirical results are as follows:
    (1) Business group firms leverage more than non-business group firms.
    (2) Firms with higher non-debt tax shields leverage more in both of the two groups.
    (3) Firms with higher profitability leverage less in both of the two groups.
    (4) Firms with more growth opportunities leverage more in both of the two groups.
    (5) Firms with higher collateral value of assets leverage less in business group firms, while they leverage more in non-business group firms.
    (6) The larger the number of subsidiaries, the lower the debt ratio in business groups.
    (7) Firms with more growth opportunities leverage more in business groups than in non-business groups.

    Chapter 1 Introduction 1 1.1 Research Motivation 1 1.2 Research Contribution and Objectives 4 1.3 Research Process 5 Chapter 2 Literature Review 6 2.1 Capital Structure Theory 6 2.1.1 Modigliani and Miller’s Theory (without taxes) 6 2.1.2 Modigliani and Miller’s Theory (with corporate taxes) 7 2.1.3 The Trade-Off Theory 7 2.1.4 The Pecking Order Theory 8 2.2 Literature Review on Business Groups 9 2.3 Literature Review on Capital Structure 11 2.4 Comparison and Possible Research Directions 18 2.4.1 Comparison of Dependent and Independent Variables 18 2.4.2 Research Direction 24 Chapter 3 Business Groups 25 3.1 Definition 25 3.2 Business Groups in Taiwan 27 3.2.1 Business Groups and the GNP 27 3.2.2 Business Groups and the Working Population 28 3.2.3 Net Income and Growth Rate 28 3.2.4 Debt Ratio 29 Chapter 4 Research Design 31 4.1 The Conceptual Model 31 4.2 Variable Measurement and Research Hypothesis 32 4.2.1 Measurement of the Dependent Variable 32 4.2.2 Measurement of the Independent Variables 33 4.3 Sample Selection and Description 37 4.4 Methodology 40 4.4.1 The Multicollinearity Test 40 4.4.2 The Nested Hypotheses Test 41 4.4.3 The Autocorrelation Test 41 Chapter 5 Empirical Results 42 5.1 Model of Business Group Firms 42 5.1.1 Regression Results for the Preliminary Model 42 5.1.2 The Multicollinearity Test 44 5.1.3 The Nested Hypothesis Test 45 5.1.4 The Autocorrelation Test 46 5.1.5 Regression Results for the BGs Final Model 46 5.2 Model of Non-business Group Firms 48 5.2.1 Regression Results for the Preliminary Model 48 5.2.2 The Multicollinearity Test 49 5.2.3 The Nested Hypothesis Test 50 5.2.4 The Autocorrelation Test 51 5.2.5 Regression Results for the NBGs Final Model 51 5.3 Comparison between the Two Groups 53 Chapter 6 Conclusion 55 6.1 Comparison and Contribution 55 6.2 Limitations and Future Research Directions 58 References 59

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